• Journal of the Korea institute for structural maintenance and inspection
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• v.21 no.5
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• pp.83-93
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• 2017

This study proposed the new weighting values and fault points of condition assessment items for reinforced earth retaining walls based on the combination the inspection data and hybrid weighting technique. Utilizing the inspection data of 161 reinforced earth retaining walls, multi regression analysis and entropy technique were applied to gain the weighting values of condition assessment items. In addition, the weighting values by AHP technique was analyzed based on the opinion of experts. By appling hybrid weighting technique to the calculated weighting values obtained by the individual technique, the new weighting values of condition assessment items were proposed, and the fault points and fault indices of reinforced earth retaining walls were proposed. Results showed that the rank of the weighting value of the condition evaluation items was fluctuated according to the multiple regression analysis, AHP technique, and entropy technique. There was no duplication of the rank of the weighting value while the current weighting value was overlapped. Specially, in the rsults of multi regression analysis, two condition assessment items were occupied 70% of the total weights. When the proposed weighting values were applied to existing reinforced earth retaining wall of 161, 16 reinforced earth retaining walls showed the increased risk rank and 31 represented the decreased risk rank.

• Journal of the Korean housing association
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• v.24 no.3
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• pp.73-83
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• 2013

The aim of this paper is to examine the determinants of residential satisfaction and attachment according to the urban multi-family dwelling types. On the basis of the surveys, the factor analysis and regression are employed as the empirical analysis on residential satisfaction and attachment in Daegu metropolitan city. The major findings are as follows; First, as for post-occupancy evaluation of residential environment of building and outside, the residents of complex type of multi-family housing satisfied with most of items more than studio type except the location, amenity facilities around building and utilities fee. Second, about the Residential Satisfaction and Attachment by types, the residents of complex type of multi-family housing satisfied with most of items more than studio type too. Third, the determinants in residential Satisfaction of complex types are 'welfare and amenity facilities factor', 'maintenance factor' and 'location factor'. On the other hand, the determinants in residents of studio type are 'inexpensive rent fee factor', 'welfare and amenity facilities factor' and 'maintenance factor'. Going forward, this research will help us better understand residential satisfaction from the point of residents and find new ways to improve resident satisfaction and attachment.

• Water for future
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• v.27 no.3
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• pp.55-69
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• 1994

In order to enhance the short-term flood forecasting accuracy of the water level of the In-do Brdg., three statistical flood forecasting models are presented models are presented and the forecasting accuracies and stabilities of the models are studied. The presented statistical models are as follows: The multi-input model by the multi-regression analysis between the water level of the In-do Brdg. and the influence parameters(Model MM). The two-level multi parameter model according to the water level tendency(Model 2MP). Among the three models, the Model MM showed the lowest forecasting accuracy, the model 2MP showed the highest forecasting accuracy, although this model sometimes became unstable and diverged. The model MMP forecasted the flood less accurately than model 2MP, but it gave more stable forecasting results.

• Journal of the Korean Regional Science Association
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• v.36 no.4
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• pp.57-67
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• 2020

This study aims to analyze influential factors of residents' housing instability in Korean large cities. The previous studies deal with low-income households' experiences with housing instability. However, this study empirically analyzed the impact of regional characteristics such as spatial openness and community characteristics on residents' housing instability. For this purpose, I analyzed various experiences as symptoms of residents' housing instability using data from the Ministry of Land, Infrastructure, and Transport's (MOLIT) Korean Housing survey through a multi-level logistic regression model. The study finds that regional factors as well as household characteristics influence their housing instability. This result implies that promoting spatial inclusivity alleviate residents' housing instability in metropolitan environments. In addition, this study calls for policy efforts such as a continuous supply of public rental housing and a greater variety of housing types to mitigate housing instability.

• Journal of Preventive Medicine and Public Health
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• v.54 no.4
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• pp.259-264
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• 2021

Traditional epidemiological studies have identified a number of risk factors for various diseases using regression-based methods that examine the association between an exposure and an outcome (i.e., one-to-one correspondences). One of the major limitations of this approach is the "black-box" aspect of the analysis, in the sense that this approach cannot fully explain complex relationships such as biological pathways. With high-throughput data in current epidemiology, comprehensive analyses are needed. The network approach can help to integrate multi-omics data, visualize their interactions or relationships, and make inferences in the context of biological mechanisms. This review aims to introduce network analysis for systems epidemiology, its procedures, and how to interpret its findings.

• Journal of Korean society of Dental Hygiene
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• v.16 no.5
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• pp.669-676
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• 2016

Objectives: The purpose of the study was to investigate the related factors of scaling experience of multi-cultural adolescents in Korea. Methods: The subjects were 698 multi-cultural adolescents from web-based survey of the 11th(2015) Korean Youth Risk Behavior. Multi-cultural adolescents are defined as the children of marriage migrant women. The study instruments included demographical characteristics of the subjects, oral health behaviors, daily tooth brushing times, health behaviors, and experience of smoking and alcohol consumption. Data were analyzed using PASW statistics 18.0. Results: The experience rate of scaling was 18.8%. Multiple logistic regression analysis revealed that experience of scaling were related with experiences of sealant and fruit consumption. Conclusions: It is very important to provide the continuing oral health prevention program for the adolescents and investigate the cost-benefit effectiveness of oral health care program.

• Korean Journal of Remote Sensing
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• v.30 no.3
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• pp.375-381
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• 2014

Soil moisture is an essential satellite-driven variable for understanding hydrologic, pedologic and geomorphic processes. The European Space Agency (ESA) has endorsed soil moisture as one of Climate Change Initiates (CCI) and had merged multi-satellites over 30 years. The $0.25^{\circ}$ coarse resolution soil moisture satellite data showed correlations with variables of a water stress index, Temperature-Vegetation Dryness Index (TVDI), from a stepwise regression analysis. The ancillary data from TVDI, Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) from MODIS were inputted to a multi-regression analysis for estimating the surface soil moisture. The estimated soil moisture was validated with in-situ soil moisture data from April, 2012 to March, 2013 at Andong observation sites in South Korea. The soil moisture estimated using satellite-based LST and NDVI showed a good agreement with the observed ground data that this approach is plausible to define spatial distribution of surface soil moisture.

• Journal of Korean society of Dental Hygiene
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• v.13 no.2
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• pp.211-220
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• 2013

Objectives : This study intended to figure out illegal treatment by unlicensed person in dental area and factors, which were considered as user's position on the basis of the local community investigation of health conditions in chungbuk provinces in 2008. Methods : This study used chi-square test and complex sample design of multi-variate logistic regression analysis to question 12,443 peoples who have experience on illegal dental treatment. Results : Multi-variate logistic regression analysis results showed that factors having related to illegal dental treatment are sex, age, education standards, subjective awareness of oral health condition, drinking experience of lifetime, unmet need of dental treatment, chewing difficulty, use of dentures, experience of scaling and the use of interdental care instrument. Conclusions : As a result of this study, in order to root out illegal dental treatment, we need to expand the breadth of health insurance coverage so that it can reduce the burden of dental expenses. Moreover, we need to set out health service of public oral health to inform the importances of maintaining good oral health and the problems of illegal dental treatment by unlicensed person.

• Journal of the Korea Institute of Building Construction
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• v.13 no.2
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• pp.148-158
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• 2013

Generally, building construction projects have a complex decision-making process because of the participation of various agents. In this situation, a final decision is arrived at by relying on subjective judgments based on the experience of project participants. For this reason, a method of assessing the objectivity of opinions is needed. In previous studies, the multi-criteria decision making method was applied to arrive at a final decision objectively, but this method has a limitation, in that the experience of each decision maker is not considered differently in the decision making process. Therefore, this study proposed a theoretical model using the S-shaped growth curve and regression analysis by building construction project type to quantitatively estimate decision-making reliability according to the experience of individual project participant`s. The developed model could be added to the Multi-criteria decision making method, and secure the objectivity and reliability of project participants' final opinion.

• The Korean Journal of Ecology
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• v.26 no.4
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• pp.203-208
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• 2003

Losses in the dry weight of leaf litter from six tree species were studied during 16 months on the forest floor in temperate deciduous forest of Mt. Cheonma in the vicinity of Seoul in Korea by using litter bag method. The decomposition rate of each leaf litter varies with each species. After 16 months elapsed, the leaf litter of Acer pseudo-sieboidianum showed the highest decomposition constant (0.82) as Olson´s decomposition constant, while that of Pinus densiflora showed the lowest decomposition constant (0.33). The decomposition constant of Quercus mongolica, Q. serrata, Betula ermani and Carpinus laxiflora showed 0.43, 0.37, 0.66 and 0.75, respectively. The decomposition constant of leaf litter was considered with temperature and precipitation which accumulated daily during each term of litter bag collection. The decomposition constant of leaf litter showed closely positive correlation with daily accumulative temperature and precipitation. The relationships between decomposition constant and the daily accumulative temperature and precipitation at each period of litter bag collection were analyzed through multi-regression analysis. The correlation coefficients as a result of multi-regression analysis in Q. mongolica, Q. serrata, P densiflora, B. ermani, C. laxiflorais and A. pseudo-sieboldianum were 0.83, 0.81, 0.69, 0.77, 0.77 and 0.62, respectively. The precipitation showed higher effect, about 10 times, on the leaf litter decomposition than the daily accumulative temperature.